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- W3204594737 abstract "Information estimation, prediction and fusion algorithms are of great importance for high-dynamic aircraft. In this paper, we introduce a selective navigation system, which can work in a update mode using Kalman filter and in a prediction mode via self-organization algorithms. We derived a formula of positioning error, functioning as an accuracy evaluation criterion, in order to evaluate the accuracy of different integrated navigation algorithms online. Thus, we can select the most suitable algorithm for current time moment, and switch the system structure from one mode to another, according to the dynamic model of inertial navigation system. To testify the correctness of the proposed evaluation methodology, real laboratory tests are carried out under a half-real environment. According to the results, the evaluation methodology can provide comparison results of different integrated algorithms. In addition, self-organization algorithms and genetic algorithms with high reliability of information processing can greatly improve the performance and adaptability of integrated navigation systems." @default.
- W3204594737 created "2021-10-11" @default.
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- W3204594737 date "2021-07-26" @default.
- W3204594737 modified "2023-09-27" @default.
- W3204594737 title "Adaptive Integrated Navigation Algorithms for Advanced Avionics Systems of High-Dynamic Aircrafts" @default.
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- W3204594737 doi "https://doi.org/10.23919/ccc52363.2021.9549402" @default.
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